A slow testing process often stands in the way of development teams striving for fast and efficient releases. For many, manual testing creates a bottleneck where time, resources, and quality are at stake. But there is a solution that can speed up the process while also improving quality: automated testing.

For many companies, production issues bring more than frustration – they result in costly reworks, bug corrections, and retesting, disruptions to user experience, and damage to customer trust. Often, these issues stem from the limitations of manual testing and the pressure on development teams to keep up with release deadlines. Here, we explore how automated testing, further enhanced by AI, allows teams to feel more secure in their deliveries, and can thus keep a higher pace. 

In a rapidly changing digital world, it's more important than ever that quality assurance (QA) not only keeps up with development but also leads the way. As new technologies and innovations reshape the landscape for software development and testing, we ensure that we use the best tools and methods to deliver the highest quality to our customers. Gartner’s latest report on the 2025 strategic technology trends highlights several areas that will directly impact the future of QA, and here’s how we address these challenges and opportunities.

In this blog post, we will explore the challenges faced by Enterprise organizations when implementing or managing test automation frameworks and how a robust framework can streamline the process. CTOs and product owners will gain valuable insights into improving their automated testing strategies.

In the dynamic energy sector, the role of Quality Assurance (QA) becomes pivotal in delivering solutions that meet the expectations and requirements of various users. In this blog post, we'll explore the significance of high-quality and well-prepared acceptance tests, with a focus on users such as customer service and finance departments. 

Discover why user acceptance testing is crucial for ensuring software quality and learn how it plays a vital role in the success of business support system implementations and integrations.

Discover the crucial role of software quality assurance in ensuring the success of AI-related projects.

HOW SYSTEM VERIFICATION ADDS VALUE TO YOUR TECHNICAL DUE DILIGENCE PROCESS 

System Verification specialises primarily in supporting M&A transactions in which software companies are involved. In these cases, there is often a lot of focus on the software itself, and our Technical Due Diligence (TDD) is one of several parallel due diligence processes needed to cover the entire transaction process. Our approach and work methods are based on the knowledge and expertise we have accumulated from our 20+ years in software development and quality assurance. Thanks to this, and the specific evaluations we have added to the TDD process, in-depth data can quickly be generated on the software and precise derivatives formulated.This means that you, as an investor, can avoid any unpleasant surprises – you will have a clear picture of the quality of the software systems you are about to acquire.

A technical due diligence is an integral part of most acquisitions – needless to say, especially if it is a software company you are about to acquire. In short, the purpose is to assess the quality and condition of a company’s software assets. Sounds pretty straightforward, right? Well, a good and truly useful technical due diligence includes a couple of not-so-obvious things. Not staying on top of them can prove to be quite costly. So to make things easier for you and as a little reminder, here are four perspectives to remember and include in your technical due diligence.